Job Description:
• Partner with program managers, domain experts, and end users to gather and clarify business and functional data requirements.
• Document requirements, data definitions, and business rules so technical teams understand what is needed and why.
• Translate stakeholder needs into clear deliverables such as requirements documentation, user stories, and acceptance criteria.
• Revisit and refine requirements as priorities or feedback evolve.
• Review existing data workflows and business processes to identify inefficiencies, delays, or manual workarounds.
• Help shape improvements that streamline operations and improve data availability and usability.
• Ensure analytics and reporting align with how the organization actually operates.
• Analyze integrated datasets to produce insights that support operational and leadership decisions.
• Build and maintain dashboards and reports using Tableau or Qlik, with a focus on clarity and usability.
• Write and validate SQL queries to support analysis, reporting logic, and data verification.
• Ensure metrics are well-defined, accurate, and consistent across reports.
• Work with technical and QA teams to confirm data outputs meet business expectations.
• Perform high-level validation to ensure results make sense in context, not just technically.
• Help identify gaps, inconsistencies, or definition issues before data is delivered to stakeholders.
• Create and maintain documentation including requirements specifications, data dictionaries, and report user guides.
• Communicate findings clearly to non-technical audiences, translating data into practical insight.
Requirements:
• Experience in data analysis, business analysis, or analytics roles within complex or regulated environments.
• Strong stakeholder engagement and requirements gathering skills.
• Solid SQL experience for querying, validating, and analyzing data.
• Hands-on experience with Tableau or Qlik (or comparable BI tools).
• Ability to explain data findings clearly to both technical and non-technical audiences.
• Experience working with healthcare or federal data environments.
• Familiarity with healthcare data standards or models (e.g., HL7/FHIR, OMOP), even at a conceptual level.
• Experience using Excel and/or Python (pandas) for deeper or ad hoc analysis.
• Understanding of data privacy and compliance considerations in regulated settings.
Benefits:
• Weekly pay with full remote flexibility
• Professional growth investment, including paid certifications and training
• Comprehensive benefits package, including:
• Medical, dental, and vision coverage
• 401(k) with 100% company match up to 6%
• Paid time off (PTO)
• Life and disability insurance
• Home office equipment plan
• A supportive, inclusive team culture focused on collaboration, trust, and mission impact
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